Product Images Dove Clinical Protection Soothing Chamomile Antiperspirant And Deodorant

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Product Label Images

The following 2 images provide visual information about the product associated with Dove Clinical Protection Soothing Chamomile Antiperspirant And Deodorant NDC 64942-1222 by Conopco Inc. D/b/a Unilever, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

DVClinProtectSoothChamrev3PDP - DVClinProtectSoothChamrev3PDP

DVClinProtectSoothChamrev3PDP - DVClinProtectSoothChamrev3PDP

This is a clinical strength antiperspirant by Dove featuring a soothing chamomile scientifically proven to provide wetness protection. It contains the active ingredient Aluminum Zirconium Tefrachloroydrex 6LY (20%) and other inactive ingredients such as Cyclopentasiloxane, Paraffin, and Helianthus Annuus (Sunflower) Seed Oil. It's used for external use only and shouldn't be applied to broken skin, and if irritation occurs, its use should be stopped immediately. For persons with kidney disease, it's necessary to ask a doctor before use, and it should be kept away from children in a temperature below 115°F. Simply apply two clicks of product to each underarm before bed. For more information or inquiries contact 1-800-761-DOVE.*

DVClinProtectSoothChamrev3carton - DVClinProtectSoothChamrev3carton

DVClinProtectSoothChamrev3carton - DVClinProtectSoothChamrev3carton

Dove Clinical Protection is an antiperspirant deodorant that provides prescription-strength wetness protection for 48 hours. It also offers 48-hour odor protection and contains moisturizers. The product is infused with sirengin to provide the necessary care and beauty. It is a reliable and effective choice for those who need maximum wetness protection. The text also includes a barcode and purchase code.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.